no code implementations • 28 Oct 2022 • John Burge, Matthew R. Bonanni, R. Lily Hu, Matthias Ihme
While deep learning approaches have demonstrated the ability to predict wildfire propagation over large time periods, time-resolved fire-spread predictions are needed for active fire management.
no code implementations • 11 Dec 2020 • John Burge, Matthew Bonanni, Matthias Ihme, Lily Hu
Machine learning techniques provide a potential approach for developing such models.
no code implementations • 15 Oct 2020 • Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-fan Chen, John Anderson
Identifying regions that have high likelihood for wildfires is a key component of land and forestry management and disaster preparedness.
no code implementations • 11 Dec 2019 • Shreya Agrawal, Luke Barrington, Carla Bromberg, John Burge, Cenk Gazen, Jason Hickey
High-resolution nowcasting is an essential tool needed for effective adaptation to climate change, particularly for extreme weather.